Table 1 shows patient characteristics according to baseline quartiles of PP.
Their characteristics by baseline quartiles of ACR are shown in Table 1.
The subjects were divided into 4 groups according to the baseline quartiles of fasting insulin, and the predictors of the incidence of MS were analyzed using multivariate regression analysis.
Higher baseline quartiles of 1,5-AG were inversely associated with incident diabetes in a dose response manner, even after adjusting for diabetes risk factors and fasting glucose or A1C.
The hazard ratios (HRs) from our adjusted Cox proportional hazards models are also shown in Table 2. Higher baseline quartiles of fructosamine and glycated albumin were associated with a significantly higher risk of diabetes in a dose response manner, even after adjustment for traditional risk factors (Model 2a).
Final AHSG values were within the range of the baseline quartiles (significance of difference between baseline and final values in quartiles 1, 2, 3, and 4 were p = 0.022, p = 0.248, p = 0.897, and p = 0.126, respectively).
However, the finding of increased LDL-C among patients in the lower baseline quartiles reinforces the importance of monitoring patients with elevated risk for cardiovascular disease and providing lipid-lowering therapy when appropriate.
Descriptive statistics were used to compare baseline characteristics of participants across quartiles of each diet pattern.
The same analyses were repeated adjusting for other variables that were recognised as potential confounders from the literature, 1 coded as follows: current smoker at baseline; RF (≥1 40); symptom duration at baseline; number of swollen joints at baseline (quartiles); CRP levels at baseline (quartiles); HAQ score (quartiles); and year of registration.
We utilized Cox proportional hazard models to examine the independent associations of baseline categories (quartiles) of fructosamine, glycated albumin, and 1,5-AG with risk of incident diagnosed diabetes.
